CGM007

CGM007 — CS2 Stats

CA76561198154956370[U:1:194690642]Steam profile ↗✓ No bans

1,737Tracked matches43%Win rate2020Tracked since
5,766Hours in CS17Hrs last 2 wks
CSDB Rating5.8 SolidAll-Rounder
Premier CS Rating16,470Purple band · top ~22.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−113Premier CS Rating · 16,583 → 16,470
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 24 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,470 +1,666 28 Jun23 Sept · 8 days played
14,80416,583peak 16,58328 Jun23 Sept
16,583Peak Premier in tracked matches
41Days played since 2026-06-24

Premier CS Rating

  • 113 below peak (16,583)
  • +1,666 over 90 days
  • Next: Pink band at 20,000 3,530 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,407), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate47.7%42.7%43.8%above
Shot accuracy17.7%11.3%12.0%above
Kill/death ratio1.160.991.02above
Match win rate47.4%43.9%44.7%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGCGM007FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,470 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning55
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY44479Last 10044%Win rateLWWWWTLWWL

Last 10 vs previous 10: +20pp win rate · +0.08 avg rating · −3.7pp headshot accuracy · +42ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 606ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 632ms

Last 20

  • 1082 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 611ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.7
Utility5.6
Positioning5.5
Opening Duels4.0

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.7
Positioning5.5
Utility5.6
Mechanics7.9
Opening Duels3.9
Win Impact2.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time612ms−57ms
first ⅓ avg 670ms → last ⅓ avg 612ms
Headshot accuracy21.3%−1.3%
first ⅓ avg 22.7% → last ⅓ avg 21.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.25Best match rating · 9–3 · inferno, 13 Sept
100%Best headshot accuracy · 4–9 · inferno, 1 Aug
406msFastest reaction time · 2–9 · inferno, 13 Sept
13–1Biggest win · mirage, 12 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
910In matches decided by ≤2 rounds
5Overtime games

Map breakdown

debrisBest map · 71% over 14nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoD31102132%-0.01
nukeD1751229%-0.02
debrisS1410471%0.03
mirageA127558%0.04
dust2B84450%-0.00
vertigoD62433%-0.02
cache42250%0.02
anubis21150%0.04
office21150%0.09
overpass1010%-0.16
ancient1010%-0.03
shelter110100%-0.04
alpine110100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

147,182Lifetime kills
1.16K/D · Top 25% of Level 4 players
7,035Matches
47.4%Match win rate · Top 25% of Level 4 players
47.7%Headshot % · Top 50% of Level 4 players
17.7%Shot accuracy · Top 25% of Level 4 players
22,863MVPs
2,349Hours (in match)
4,539Bombs planted
2,282Bombs defused

Most-used weapons

AK-4757,498
AWP14,513
P2504,111
SSG 083,615
MAC-103,556
SG 5532,530

Lifetime map wins

15,095dust2
5,081inferno
4,218vertigo
3,288office
2,644nuke
1,722train
1,084lake
610cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
35.7%Spray accuracy
85.7%Counter-strafing
11.2°Preaim
652msReaction time
44.8%T opening success
46.4%CT opening success
0.87Enemies flashed / flash
11.2%Flash assists
13.57HE damage / grenade
5.41Flashes / match

Recommended for you

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–130.0319%23 Sept
anubis13–100.0013%22 Sept
mirage13–40.0914%22 Sept
inferno9–40.0247%22 Sept
cache13–20.0817%19 Sept
inferno8–80.0331%19 Sept
inferno6–9-0.0717%18 Sept
nuke9–50.1616%18 Sept
nuke9–60.1314%17 Sept
nuke2–13-0.0816%16 Sept
inferno9–50.0253%16 Sept
debris4–9-0.1113%16 Sept
inferno7–9-0.0424%15 Sept
inferno8–130.0638%15 Sept
inferno2–9-0.1025%15 Sept
debris9–70.0218%15 Sept
debris8–80.0229%15 Sept
debris9–4-0.0925%15 Sept
dust213–9-0.0317%14 Sept
inferno2–9-0.160%13 Sept
overpass2–9-0.1627%13 Sept
vertigo1–9-0.0518%13 Sept
inferno9–30.2520%13 Sept
vertigo5–9-0.0920%13 Sept
nuke9–13-0.0416%12 Sept
mirage13–10.0914%12 Sept
dust27–13-0.0921%12 Sept
debris9–60.0626%11 Sept
inferno7–9-0.0314%11 Sept
inferno9–60.0623%10 Sept
nuke8–8-0.0415%10 Sept
debris9–30.2227%10 Sept
mirage13–30.0917%10 Sept
nuke13–10-0.0126%10 Sept
inferno2–9-0.1115%10 Sept
inferno4–9-0.1529%9 Sept
inferno9–20.1716%9 Sept
nuke3–90.0323%6 Sept
inferno6–9-0.0713%6 Sept
inferno13–11-0.0415%4 Sept
mirage13–110.0226%29 Aug
debris5–9-0.0114%29 Aug
vertigo9–40.0821%29 Aug
debris3–9-0.106%29 Aug
nuke1–9-0.2133%28 Aug
inferno3–90.0110%28 Aug
inferno2–9-0.1231%19 Aug
vertigo4–9-0.1116%18 Aug
inferno9–60.0433%18 Aug
mirage11–130.0432%15 Aug
dust216–140.0226%14 Aug
debris9–5-0.0012%13 Aug
debris9–2-0.0857%13 Aug
debris9–60.1744%13 Aug
office9–130.1024%12 Aug
debris9–10.1331%12 Aug
debris9–60.1333%12 Aug
inferno6–9-0.0523%12 Aug
nuke2–9-0.1164%12 Aug
nuke8–80.0324%12 Aug
debris9–60.0523%11 Aug
inferno9–7-0.0437%11 Aug
inferno8–80.0525%9 Aug
nuke1–9-0.0950%9 Aug
vertigo9–60.0730%9 Aug
mirage15–150.0321%8 Aug
dust29–130.0229%8 Aug
inferno8–8-0.0717%7 Aug
mirage15–15-0.0612%7 Aug
anubis4–130.0713%7 Aug
dust27–20.0414%7 Aug
cache14–16-0.0316%3 Aug
inferno4–9-0.00100%1 Aug
inferno8–80.0420%1 Aug
cache7–13-0.0117%29 Jul
mirage7–130.0522%21 Jul
inferno14–16-0.0213%21 Jul
office13–80.0817%20 Jul
nuke7–9-0.0417%20 Jul
ancient7–13-0.0311%15 Jul
nuke8–130.0421%15 Jul
mirage11–13-0.0222%15 Jul
nuke13–11-0.0523%12 Jul
mirage13–60.0113%12 Jul
dust211–13-0.0414%12 Jul
cache13–110.0422%11 Jul
inferno10–13-0.0423%11 Jul
shelter13–10-0.0421%9 Jul
mirage13–80.1330%9 Jul
dust213–110.0230%9 Jul
inferno13–11-0.0324%6 Jul
dust23–130.0330%2 Jul
mirage13–70.0521%2 Jul
inferno6–90.0735%1 Jul
inferno7–90.0933%1 Jul
nuke4–9-0.1026%1 Jul
alpine13–100.0420%28 Jun
inferno13–70.0013%28 Jun
nuke13–90.0218%28 Jun
vertigo9–13-0.0121%24 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →